{"id":"https://openalex.org/W2982640928","doi":"https://doi.org/10.1109/access.2019.2949842","title":"Removal of ECG Artifacts From EEG Using an Effective Recursive Least Square Notch Filter","display_name":"Removal of ECG Artifacts From EEG Using an Effective Recursive Least Square Notch Filter","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2982640928","doi":"https://doi.org/10.1109/access.2019.2949842","mag":"2982640928"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2949842","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2949842","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08884152.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08884152.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066851632","display_name":"Chenxi Dai","orcid":"https://orcid.org/0000-0003-1067-6402"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Dai","raw_affiliation_strings":["Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006126349","display_name":"Jianjie Wang","orcid":"https://orcid.org/0000-0003-0983-1065"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjie Wang","raw_affiliation_strings":["Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-0983-1065","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078176560","display_name":"Jialing Xie","orcid":"https://orcid.org/0000-0002-6711-4155"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialing Xie","raw_affiliation_strings":["Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695260","display_name":"Weiming Li","orcid":"https://orcid.org/0000-0002-7443-7067"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Li","raw_affiliation_strings":["Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000807319","display_name":"Yushun Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushun Gong","raw_affiliation_strings":["Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068741802","display_name":"Yongqin Li","orcid":"https://orcid.org/0000-0002-6114-2382"},"institutions":[{"id":"https://openalex.org/I151075929","display_name":"Army Medical University","ror":"https://ror.org/05w21nn13","country_code":"CN","type":"education","lineage":["https://openalex.org/I151075929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqin Li","raw_affiliation_strings":["Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6114-2382","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Imaging Medicine, Army Medical University, Chongqing, China","institution_ids":["https://openalex.org/I151075929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151075929"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3173,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.79824402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"158872","last_page":"158880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/infomax","display_name":"Infomax","score":0.9552351236343384},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6404509544372559},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6359372138977051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6016330718994141},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5548683404922485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510391891002655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.496782124042511},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4589993953704834},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44501176476478577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31986597180366516},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3032945394515991},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.2781970500946045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14558380842208862},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1272079050540924},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11910319328308105}],"concepts":[{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.9552351236343384},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6404509544372559},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6359372138977051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6016330718994141},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5548683404922485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510391891002655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.496782124042511},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4589993953704834},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44501176476478577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31986597180366516},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3032945394515991},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.2781970500946045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14558380842208862},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1272079050540924},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11910319328308105},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2949842","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2949842","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08884152.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b59a38bff6f3468aa9775331f2ca681a","is_oa":true,"landing_page_url":"https://doaj.org/article/b59a38bff6f3468aa9775331f2ca681a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 158872-158880 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2949842","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2949842","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08884152.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3866073893","display_name":null,"funder_award_id":"31771070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982640928.pdf","grobid_xml":"https://content.openalex.org/works/W2982640928.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W86723067","https://openalex.org/W1968076224","https://openalex.org/W1969673219","https://openalex.org/W1971073682","https://openalex.org/W1986711076","https://openalex.org/W1988611597","https://openalex.org/W1999390833","https://openalex.org/W1999542175","https://openalex.org/W2002027021","https://openalex.org/W2007198984","https://openalex.org/W2011957681","https://openalex.org/W2033632093","https://openalex.org/W2069017697","https://openalex.org/W2078637998","https://openalex.org/W2110075977","https://openalex.org/W2110793950","https://openalex.org/W2115300327","https://openalex.org/W2125659977","https://openalex.org/W2125927307","https://openalex.org/W2127950112","https://openalex.org/W2128688146","https://openalex.org/W2141905629","https://openalex.org/W2143815478","https://openalex.org/W2145444715","https://openalex.org/W2149350404","https://openalex.org/W2154821931","https://openalex.org/W2161541421","https://openalex.org/W2162273778","https://openalex.org/W2166306684","https://openalex.org/W2170096293","https://openalex.org/W2170397555","https://openalex.org/W2532428827","https://openalex.org/W2546159266","https://openalex.org/W2565837874","https://openalex.org/W2612143655","https://openalex.org/W2799751818","https://openalex.org/W4296131464","https://openalex.org/W4297900197"],"related_works":["https://openalex.org/W2389189059","https://openalex.org/W2181972346","https://openalex.org/W2348193061","https://openalex.org/W1553187413","https://openalex.org/W2379518525","https://openalex.org/W1592573261","https://openalex.org/W2159887805","https://openalex.org/W1971274817","https://openalex.org/W2107364464","https://openalex.org/W4283585246"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"is":[2,17],"a":[3,33,71],"common":[4],"tool":[5],"for":[6,196,216],"medical":[7],"diagnosis,":[8],"cognitive":[9],"research,":[10],"and":[11,55,74,97,118,128,151,179,209,231,245],"managing":[12],"neurological":[13],"disorders.":[14],"However,":[15],"EEG":[16,28,49,79,227,244,250],"usually":[18],"contaminated":[19,78],"with":[20,252],"various":[21],"artifacts,":[22],"making":[23],"it":[24,66],"difficult":[25],"to":[26,42],"interpret":[27],"data.":[29,80,131],"In":[30],"this":[31],"study,":[32],"recursive":[34],"least":[35],"square":[36,94],"(RLS)":[37],"notch":[38,236],"filter":[39,73,237],"was":[40,67,107,142,166,193,200,220],"developed":[41],"effectively":[43,239],"suppress":[44],"electrocardiogram":[45],"(ECG)":[46],"artifacts":[47,52,105,242],"from":[48,77,243],"recordings.":[50],"ECG":[51,104,241],"were":[53],"estimated":[54,69],"modeled":[56],"using":[57,70],"the":[58,62,83,101,110,247],"instantaneous":[59],"frequency":[60],"of":[61,86,88,103,137,147,157,171,205,225,249],"cardiac":[63],"cycle.":[64],"Then":[65],"adaptively":[68],"RLS":[72,112,138,158,197,217,235],"directly":[75],"subtracted":[76],"Based":[81],"on":[82,126],"validation":[84],"measures":[85],"improvement":[87],"normalized":[89],"power":[90],"spectrum":[91],"(INPS),":[92],"mean":[93],"error":[95],"(MSE)":[96],"information":[98,123,251],"quantity":[99],"(IQ),":[100],"performance":[102],"suppression":[106],"compared":[108],"among":[109],"proposed":[111],"approach,":[113],"independent":[114],"component":[115],"analysis":[116],"(ICA)":[117],"blind":[119],"deconvolution":[120],"method":[121,139,159,218],"under":[122],"maximization":[124],"(Infomax)":[125],"simulated":[127],"animal":[129],"experimental":[130,188],"Simulation":[132],"data":[133,189],"demonstrated":[134],"that":[135,146,170,191,204,224],"INPS":[136,192],"(19.75(18.37,20.95)":[140],"dB)":[141,150,208],"significantly":[143],"higher":[144,202],"than":[145,169,203,223],"ICA":[148,172,206,229],"(4.35(3.35,5.41)":[149],"Infomax":[152,180,210,232],"(5.76(4.60,6.88)":[153],"dB).":[154,212],"Meanwhile,":[155],"MSE":[156],"(0.20(0.08,0.53)":[160],"\u03bcV":[161,174,182],"<sup":[162,175,183],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[163,176,184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[164,177,185],")":[165,178],"considerably":[167],"lower":[168,222],"(5.59(2.35,19.79)":[173],"(3.21(1.01,10.69)":[181],").":[186],"Animal":[187],"showed":[190],"1.76(0.42,9.40)":[194],"dB":[195],"method,":[198],"which":[199],"dramatically":[201],"(0.02(0.00,0.14)":[207],"(0.57(0.08,2.45)":[211],"The":[213,234],"calculated":[214],"IQ":[215],"(0.331(0.021,0.584))":[219],"relatively":[221],"raw":[226],"(0.350(0.070,0.586)),":[228],"(0.350(0.069,0.581))":[230],"(0.341(0.050,0.585)).":[233],"can":[238],"eliminate":[240],"preserve":[246],"majority":[248],"little":[253],"loss.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}